1. Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Disease Identification, IEEE TPAMI, 2020. [Download]
  2. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network, IEEE TBME, 2020. [Download]
  3. Weakly-supervised Deep Network for Joint Classification and Regression. IEEE TCYB, 2019. [Download]
  4. Cycle-consistent GAN for Synthesizing Incomplete Multi-modal Neuroimages. MICCAI , 2018. [Download]
  5. Landmark-based Multi-instance Learning for Brain Disease Identification. MIA, 2018. [Download]
  6. Ordinal Pattern Descriptor for Brain Functional Connectivity Networks, IEEE TMI, 2018. [Download]
  7. Multi-hypergraph Learning with Incomplete Multi-modality Data. IEEE JBHI, 2018. [Download]
  8. Anatomical Landmark-based Feature Learning for Structural MRIs. IEEE JBHI, 2018. [Download]
  9. Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis, MLMI, 2018. [Download]
  10. View-aligned Hypergraph Learning with Incomplete Multi-modality Data. MIA, 2017. [Download]
  11. Effective Distance based Sparse Feature Selection. Neurocomputing, 2017. [Download]
  12. Joint Binary Classifier Learning with Error Correcting Output Code (ECOC), IEEE TPAMI, 2016. [Download]
  13. Relationship-induced Multi-template Learning for Brain Disease Diagnosis, IEEE TMI, 2016. [Download]
  14. Pairwise Constraint Guided Sparse Learning for Feature Selection. IEEE TCYB, 2016. [Download]
  15. Inherent Structure based Multi-view Learning with Multi-template Representation, IEEE TBME, 2016. [Download]
  16. View-centralized Multi-view Learning for Disease Diagnosis. HBM, 2015. [Download]
  17. Two-stage Cost-sensitive Learning for Feature Selection. IEEE TR, 2014. [Download]
  18. Attribute Relation Learning for Zero-shot Classification. Neurocomputing, 2014. [Download]
  19. Sparsity Score for Feature Selection. Intel. J. PRAI, 2014. [Download]

%d bloggers like this: